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Now showing items 91-100 of 106
Seasonal time series forecasting: A comparative study of ARIMA and ANN models
(African Journal of Science and Technology (AJST), 2004)
This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting ability of Artificial Neural Networks (ANN). In particular the paper compares the performance of Artificial Neural Networks ...
Longitudinal Survey, Nonmonotone, Nonresponse, Imputation, Nonparametric Regression
(Scientific Research Publishing, 2016)
The study focuses on the imputation for the longitudinal survey data which often has nonignorable nonrespondents. Local linear regression is used to impute the missing values and then the estimation of the time-dependent ...
RELATIONSHIP BETWEEN RATIONAL CHOICE RATIONALE FOR ADOPTION OF BALANCED SCORECARD AND ORGANIZATIONAL PERFORMANCE OF STATE CORPORATIONS IN KENYA
(European Journal of Business and Strategic Management, 2018)
Purpose: The purpose of this study was to determine the relationship between rational choice rationale for balanced scorecard (BSC) adoption and organizational performance of state corporations in Kenya. Methodology: The ...
Parameter Estimation of Power Lomax Distribution Based on Type-II Progressively Hybrid Censoring Scheme
(HIKARI Ltd, 2018)
In this study, we consider the parameter estimation of a three-parameter continuous distribution, namely, power Lomax distribution proposed by [7], when the lifetime experiments are under Type-II Progressively Hybrid ...
Robust Estimation of Finite Population Totals Using a Model Based Approach in the Presence of Two Auxiliary Variables
(International Journal of Data Science and Analysis, 2018)
The utilization of auxiliary information during surveys increases the accuracy of estimators, thereby giving more
reliable estimates of the population parameters of interest. It has been established that the presence of ...
Seasonal time series data imputation: comparison between feed forward neural networks and parametric approaches
(JKUAT Press Ltd, 2005)
Missing data in a time series may be an obstacle that may prevents further analysis of the available series either for control, explanations or forecasting. This paper addresses the problem of "‘filling in"' missing data ...
Investigating the Asymptotic Properties of Some Estimators for Panel Data Regression Model with Individual Effects
(International Journal of Statistics & Economics, 2015)
A bootstrap variance estimation under stratification with few units per stratum.
(Journal of Statistics Applications & Probability Letters, 2022)
The measurement errors exist and sample survey results are always uncertain because only a portion of the population is
measured. Larger samples and superior measurement tools can help to reduce this uncertainty. The ...
Coverage properties of a neural network estimator of finite population total in high-dimensional space.
(Journal of Mathematics, 2022)
The problem in nonparametric estimation of finite population total particularly when dealing with high-dimensional datasets is addressed in this paper. The coverage properties of a robust finite population total estimator ...
On quantiles estimation based on stratified sampling using multiplicative bias correction approach.
(Journal of Mathematics, 2022)
In the context of stratified sampling, we develop a nonparametric regression technique to estimating finite population quantiles in model-based frameworks using a multiplicative bias correction strategy. Furthermore, the ...